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Updated: May 24, 2026

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
A taxometric investigation of the latent structure of eating disorders
Bunmi O Olatunji1, Joshua J Broman-Fulks, Bethany G Ciesielski
1Department of Psychology, Vanderbilt University, Nashville, TN, USA. olubunmi.o.olatunji@vanderbilt.edu
Abstract:
The present study examined the latent structure of eating disorder symptoms in a large sample of patients with a diagnosis of anorexia nervosa restricting type, anorexia nervosa binge eating/purging type, and bulimia nervosa (n=3747). Three taxometric procedures (MAXimum EIGenvalue (MAXEIG), Mean Above Minus Below A (MAMBAC), and Latent-Mode Factor Analysis (L-Mode)) were applied to self-reported symptoms of bulimia, drive for thinness, body dissatisfaction, as well as body mass index. Taxometric analysis among patients with the restricting and binge eating/purging subtype of anorexia and those with bulimia nervosa supported a dimensional latent structure of eating disorder symptoms. Taxometric analysis also revealed a dimensional latent structure of eating disorder symptoms among patients with the restricting and binge eating/purging subtype of anorexia suggesting that the two anorexia subtypes may not represent discrete categories. These findings suggest that the diagnosis and assessment of eating disorder symptoms should be conceptualized from a dimensional framework.
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